We are happy to have been guests at ESA in Noordwijk this week! Why were we there? Together with Prof. Bergita Ganse we discussed our project MACIA, which is about muscle and bone behaviour during over-wintering at the Antarctic station “Concordia”. Interested? Then please send an e-mail to Prof. Christoph Hoog Antink.

As part of the ongoing series “Signals for Life”, where physicans and engineers discuss latest biomedical advancements, Prof. Christoph Hoog Antink was invited onto the DGBMT podcast.

Congratulations to Ingo Hoyer for winning 1st place in the DGBMT Joint Student Competition. Ingo wrote his master's thesis “Conception and implementation of a RISC-V AI extension for the efficient evaluation of ECG data” in co-supervision of KIS*MED and Fraunhofer IMS, Duisburg (Prof. Karsten Seidl). The methods he developed might help to bring AI even closer to patients in the future, e.g. in the form of intelligent, body-worn medical devices.

The conference in Tampere, Finland, has been a phantastic event (as every year)!

We are very pleased to announce a presentation on type 1 diabetes by Ms. Bianca Romanski.

We are pleased to present our first joint publication with Prof. Stefan Borik and his team from the University of Zilina in Slovakia.

On May 21, we had the pleasure to present a talk on “Artificial Intelligence (AI) in Neonatology – Where can the journey go?” at the 48th Annual Meeting of the Society for Neonatology and Pediatric Intensive Care (GNPI) / the 29th Annual Meeting of the German Society for Pediatric Infectiology (DGPI). Admittedly a challenge in the first slot after a great social event the night before, but what don't you do for science….

Our distr@l project Serious Games for smartmedication, funded by the Hessian Ministry for Digital Strategy and Innovation, has been running since March!

KIS*MED says thank you to all participants of the challenge AI in medicine of winter semester 2021/22 and congratulates team “Ceet” to their victory!

KIS*MED explains how to compute ones heart beat easily from unobtrusively measured signals in a “pythonic” way.